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Argument based machine learning from examples and text
Abstract We introduce a novel approach to cross-medWe introduce a novel approach to cross-media learning based on argument based machine learning (ABML). ABML is a recent method that combines argumentation and machine learning from examples, and its main idea is to use arguments for some of the learning examples. Arguments are usually provided by a domain expert. In this paper, we present an alternative approach, where arguments used in ABML are automatically extracted from text with a technique for relation extraction. We demonstrate and evaluate the approach through a case study of learning to classify animals by using arguments automatically extracted from Wikipedia.ts automatically extracted from Wikipedia.
Abstractsub We introduce a novel approach to cross-medWe introduce a novel approach to cross-media learning based on argument based machine learning (ABML). ABML is a recent method that combines argumentation and machine learning from examples, and its main idea is to use arguments for some of the learning examples. Arguments are usually provided by a domain expert. In this paper, we present an alternative approach, where arguments used in ABML are automatically extracted from text with a technique for relation extraction. We demonstrate and evaluate the approach through a case study of learning to classify animals by using arguments automatically extracted from Wikipedia.ts automatically extracted from Wikipedia.
Bibtextype inproceedings  +
Doi 10.1109/ACIIDS.2009.60  +
Has author Mozina M. + , Claudio Giuliano + , Bratko I. +
Has extra keyword Alternative approach + , Cross-media + , Domain experts + , Machine learning + , Relation extraction + , Wikipedia + , Animals + , Database systems + , Robot learning + , Education +
Isbn 9780769535807  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 18–23  +
Published in Proceedings - 2009 1st Asian Conference on Intelligent Information and Database Systems, ACIIDS 2009 +
Title Argument based machine learning from examples and text +
Type conference paper  +
Year 2009 +
Creation dateThis property is a special property in this wiki. 6 November 2014 18:32:24  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 18:32:24  +
DateThis property is a special property in this wiki. 2009  +
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